def __init__(self, classes=[0,1], nc=1, theta=1.0):
'''
Creates an FC beamformer that will generate nc components. A
regularization parameter theta can be supplied (0..1) to prevent
overfitting.
'''
assert 0 < theta <= 1, 'Regularization parameter should be in range (0; 1]'
SpatialFilter.__init__(self, None)
self.classes = classes
self.nc = nc
self.theta = theta
def __init__(self, signal=0, noise=1, nc=1, theta=1.0):
'''
Creates an max-SNR beamformer that will generate nc components. A
regularization parameter theta can be supplied (0..1) to prevent
overfitting.
'''
assert 0 < theta <= 1, 'Regularization parameter should be in range (0; 1]'
SpatialFilter.__init__(self, None)
self.signal = signal
self.noise = noise
self.nc = nc
self.theta = theta
def __init__(self, signal=0, noise=1, nc=2, theta=1.0):
'''
Creates an CFMS beamformer that will generate nc components, where half
of the components are supplied by an FC beamformer and half are supplied
by an max-SNR beamformer. NC should therefore always be an even number.
A regularization parameter theta can be supplied (0..1) to prevent
overfitting.
'''
assert nc % 2 == 0, 'Number of components should be even'
assert 0 < theta <= 1, 'Regularization parameter should be in range (0; 1]'
SpatialFilter.__init__(self, None)
self.signal=signal
self.noise=noise
self.nc = nc
self.theta = theta
